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		<h2>
			Fight with us</h2>
		<p>
			Naming ourselves THE NOSOI FIGHTERS we were inspired by the stories of classical
			mythology. We were looking for the name who personified killing disease. And we
			found... THE NOSOI (also known as Nosi, Nosos). These are the spirits, or rather
			daimones of illness, plague and disease. Hesiod describes the nosoi escaping from
			Pandora's jar, and like Elpis (Hope), they were probably personified to a certain
			degree. Thus, already in this name we wanted to emphasize the connection between
			the group and the aim of our project.</p>
		<h3>
			Future begins now</h3>
		<p>
			We created an innovative software solution,
			<asp:HyperLink ID="careLink" runat="server" NavigateUrl="~/project/project.aspx">CARE</asp:HyperLink>,
			that utilizes pioneering sociological theories. It has a very practical purpose
			of growing importance and demand: to counter infectious diseases like AIDS, malaria,
			pneumonia etc. We understand and demonstrate how an epidemic spreads in a population
			and how we can nail it before it nails us.</p>
		<h4>
			About Project</h4>
		<p>
			The project focuses special attention on research of Complex Networks. Complex Networks
			have Scale Free and Small Word features, what make them accurate model of many networks
			such as social networks. These features, which appear to be very efficient for communication
			networks, favor at the same time the spreading of many diseases.
		</p>
		<p>
			Based on defined centrality measures, we show how to discover the critical elements
			of any network. The Degree Centrality measure gives the highest score of influence
			to the vertex with the largest number of first-neighbours. This agrees with the
			intuitive way to estimate someone’s influence from the size of his immediate environment.
			If we need to find influential nodes in an area modeled by network it is quite natural
			to use the Radius Centrality measures. This measure chooses the vertex with the
			smallest value of shortest longest path starting in each vertex. Closeness Centrality
			focuses on the idea of communications between different vertices. The vertex which
			is ‘closer’ to all vertices gets the highest score. In effect this measures indicates
			which one of two vertices needs fewer steps in order to communicate with some other
			vertex. Betweenness Centrality (or Load Centrality) refines the concept of communications,
			introduced in Closeness Centrality. Informally, Load Centrality of a vertex can
			be defined as the percent of shortest paths connecting any two vertices that pass
			through that vertex. This definition of centrality explores the ability of a vertex
			to be ‘irreplaceable’ in the communication of two random vertices. It is of particular
			interest in the study of network attack, because at any given time the removal of
			the maximum betwenness vertex seems to cause maximum damage in terms of connectivity
			and mean distance in the network. Where degree centrality gives a simple count of
			the number of connection a vertex has, eigenvector centrality acknowledges that
			not all connections are equal. In general, connections to people who are themselves
			influential will lend a person more influence than connections to less influence
			people.
		</p>
		<p>
			The identification and then vaccination of the critical elements of a given network
			should be the first concern in order to reduce the consequence of epidemics. We
			define dynamic model for the spreading of infections on networks and build application
			to simulate and analyse many epidemic scenarios for various diseases. Based on available
			data of some social networks, we show how and why epidemics are spreading in real
			networks and how could be halted.
		</p>
		<p>
			Presenting idea is a new attempt at integrating theories and practices from many
			area, in particular: social networks, graph and network theory, decision theory,
			data mining and security. It utilizes that theoretical basis for very practical
			purpose of growing importance and demand: widely understood countering high contagious
			diseases like HIV/AIDS, SARS and others.
		</p>
		<hr />
		<p>
			<b>We are very grateful to:</b>
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